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高瓴人工智能学院24篇师生论文被国际顶级期刊会议(CCF A)录用
日期:2020-07-21访问量:

       2020年春季学期,在高瓴人工智能学院6位青年导师的指导下,学院24篇师生论文被国际顶级期刊会议(CCF A)录用。CCF是中国计算机学会的简称。CCF A类期刊会议指国际上极少数的顶级刊物和会议,其中SIGIR是人工智能领域智能信息检索方向国际最权威的国际会议,SIGMOD是数据库领域最顶级的国际会议,SIGKDD是人工智能领域数据挖掘方向的顶级国际学术会议,WWW是互联网领域最权威的国际会议。能够连续在人工智能相关领域发表多篇高水平论文,充分体现了我院在人工智能领域的优势师资力量和雄厚的科研实力。

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       所发表的24篇论文中,8篇论文被CCF-A类会议SIGIR录用,2篇论文被CCF A类会议SIGMOD录用,3篇论文被CCF A类会议SIGKDD录用,2篇论文被CCF A类会议 The web conference(WWW)录用,1篇论文被CCF A类会议ICML录用,2篇论文被CCF A类会议TPAMI 录用,1篇论文被CCF A类会议CVPR录用,2篇论文被CCF A类会议AAAI录用,1篇论文被CCF A类会议ACL录用,1篇论文被CCF A类会议IJCV录用,1篇论文被CCF A类会议VLDB录用。


论文详情

2020年春季学期我院师生发表的CCF A类论文如下:

(1)SIGIR 2020

· Jing Yao, Zhicheng Dou and Ji-Rong Wen.Employing Personal Word Embeddings for Personalized Search.Proceedings of the 43rd International

ACM SIGIR Conference on Research and Development inInformation Retrieval (SIGIR 2020) (CCF A)

· Yujia Zhou, Zhicheng Dou and Ji-Rong Wen.Encoding History with Context-aware Representation Learning for PersonalizedSearch. Proceedings of the 43rd International ACM SIGIR Conference on Researchand Development in Information Retrieval (SIGIR 2020) (CCF A)

· Jiongnan Liu, Zhicheng Dou, Xiaojie   Wang, Shuqi Lu and Ji-Rong Wen. DVGAN: A Minimax Game for Search ResultDiversification Combining Explicit and Implicit Features. Proceedings of the 43rd   International ACM SIGIR Conference on Research and Development inInformation Retrieval (SIGIR 2020) (CCF A)

· Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang and Ji-Rong Wen. Knowledge Enhanced Personalized Search.Proceedings of the 43rd International ACM SIGIR Conference on Research andDevelopment in Information Retrieval (SIGIR 2020) (CCF A)

· Jun Xu, Zeng Wei, Long Xia, Yanyan Lan,Dawei Yin, Xueqi Cheng and Ji-Rong Wen. Reinforcement Learning to Rank withPairwise Policy Gradient. Proceedings of the 43rd International ACM SIGIR Conferenceon Research and Development in Information Retrieval (SIGIR 2020) (CCF A)

· Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan,Xueqi Cheng and Ji-Rong Wen  SetRank:Learning a Permutation-Invariant Ranking Model for Information Retrieval.Proceedings of the 43rd International ACM SIGIR Conference on Research andDevelopment in Information Retrieval (SIGIR 2020) (CCF A)

· Ruiyang Ren, Zhaoyang Liu, Yaliang Li,Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen. Sequential Recommendationwith Self-Attentive Multi-Adversarial Network. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in InformationRetrieval (SIGIR 2020) (CCF A)

· Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy Huang. KERL: A Knowledge-Guided ReinforcementLearning Model for Sequential Recommendation. Proceedings of the 43rd  International ACM SIGIR Conference on Research and Development in InformationRetrieval (SIGIR 2020) (CCF A)

(2)SIGMOD 2020

· Hanzhi Wang, Zhewei Wei, Ye Yuan,

Xiaoyong Du and Ji-Rong Wen. Exact Single-Source SimRank Computation on Large Graphs. In  Proceedings of the 2020 ACM SIGMOD International Conference on Management ofData (SIGMOD 2020) (CCF A)

· Qintian Guo, Sibo Wang, Zhewei Wei,  and Ming Chen. Influence Maximization  Revisited: Efficient Reverse Reachable  SetGeneration with Bound Tightened. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (SIGMOD 2020) (CCF A)

(3)KDD 2020

· Ning Wu, Wayne Xin Zhao, Jingyuan  Wang,Dayan Pan. Learning Effective Road Network Representation with HierarchicalGraph Neural Networks. Proceedings of the 2020 International Conference onKnowledge Discovery and Data Mining (SIGKDD 2020) (CCF A)

· Kun Zhou, Wayne Xin Zhao, Shuqing Bian,Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu. Improving Conversational RecommenderSystems via Knowledge Graph based Semantic Fusion. Proceedings of the 2020International Conference on Knowledge Discovery and Data Mining (SIGKDD 2020)(CCF A)

· Hanzhi Wang, Zhewei Wei, Junhao Gan, SiboWang, Zengfeng Huang. Personalized PageRank to a Target Node, Revisited.Proceedings of the 2020 International Conference on Knowledge Discovery andData Mining (SIGKDD 2020) (CCF A)

(4)TPAMI 2020

· Jiechao Guan, Zhiwu Lu, Tao Xiang, AoxueLi, An Zhao, and Ji-Rong Wen, Zero and Few Shot Learning with Semantic FeatureSynthesis and Competitive Learning, IEEE Transactions on Pattern Analysis andMachine Intelligence (TPAMI), DOI: 10.1109/TPAMI.2020.2965534, 2020. (CCF A)

· Yulei Niu, Hanwang Zhang, Zhiwu Lu, andShih-Fu Chang, Variational Context: Exploiting Visual and Textual Context forGrounding Referring Expressions, IEEE Transactions on Pattern Analysis andMachine Intelligence (TPAMI), DOI: 10.1109/TPAMI.2019.2926266, 2020. (CCF A)

(5)VLDB 2020

· Yu Liu, Lei Zou, Qian Ge, and Zhewei Wei.SimTab: Accuracy-Guaranteed SimRank Queries through Tighter Confidence Boundsand Multi-Armed Bandits. Proceedings of the 2020 International Conference onVery Large Data Bases (VLDB 2020) (CCF A)

(6)The Web Conference (WWW)

· Jing Yao, Zhicheng Dou, Jun Xu, and Ji-RongWen. RLPer: A Reinforcement Learning Model for Personalized Search. Proceedingsof The Web Conference 2020, April 20--24, 2020, Taipei, Taiwan (WWW 2020) (CCFA)

· Gaole He, Junyi Li, Wayne Xin Zhao, PeijuLiu, Ji-Rong Wen - Mining Implicit Entity Preference from User-Item InteractionData for Knowledge Graph Completion via Adversarial Learning. Proceedings ofThe Web Conference 2020, April 20--24, 2020, Taipei, Taiwan (WWW 2020) (CCF A)

(7)AAAI 2020

· Anwen Hu, Zhicheng Dou, Jian-Yun Nie, andJi-Rong Wen. Leveraging Multi-token Entities in Document-level Named EntityRecognition. Proceedings of the thirty-Fourth AAAI Conference on ArtificialIntelligence  (AAAI 2020) (CCF A)

· Mingyu Ding, Zhe Wang, Bolei Zhou, JianpingShi, Zhiwu Lu, and Ping Luo, Every Frame Counts: Joint Learning of VideoSegmentation and Optical Flow, AAAI Conference on Artificial Intelligence (AAAI2020) (CCF A)

(8)ACL 2020

· Yutao Zhu, Ruihua Song, Zhicheng Dou,Jian-Yun Nie, Jin Zhou. ScriptWriter: Narrative-Guided Script Generation.Proceedings of the 58th Annual Meeting of the Association for ComputationalLinguistics (ACL 2020) (CCF A)

(9)ICML 2020

Ming Chen, Zhewei Wei, Zengfeng Huang,Bolin Ding and Yaliang Li. Simple and Deep Graph Convolutional Networks.Proceedings of the 37th International Conference on Machine Learning (ICML2020) (CCF A)

(10)CVPR 2020

· Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, and Ping Luo, Learning Depth-Guided Convolutionsfor Monocular 3D Object Detection, IEEE Conference on Computer Vision andPattern Recognition (CVPR 2020) (CCF A)

(11)IJCV 2020

· Aoxue Li, Zhiwu Lu, Jiechao Guan, TaoXiang, Liwei Wang, and Ji-Rong Wen, Transferrable Feature and ProjectionLearning with Class Hierarchy for Zero-Shot Learning, International Journal ofComputer Vision (IJCV), DOI: 10.1007/s11263-020-01342-x, 2020. (CCF A)


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